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Day One provides an overview of the main components for building a data strategy and associated architecture. A key focus will be on aligning the data strategy with the organization’s business strategy to support becoming a more data-driven organization. An overview of the key components of data management will be covered including: metadata management, data architecture and data modeling, data quality, BI and data warehousing, Big Data and analytics, master data management, and data integration. Hands-on workshop exercises will be provided to give students the opportunity to apply the techniques they’ve learned. Topics include:
- Data Strategy & Data Management Overview
- Data Strategy & Data Management Executive Overview
- Building blocks of a data strategy & architecture
- Case studies & success stories
- Establishing Goals & Gaining Buy-In
- Motivation & drivers
- Effectively communicate needs and expected ROI
- Workshop: Defining business motivations & drivers
- Building the Data Management Foundation
- Metadata Management
- Data Architecture & Data Modeling
- Data Quality
- BI and Data Warehousing
- Big Data & Analytics
- Master Data Management
- Data Integration
- Workshop: Assessing Current State Maturity
- Prioritizing Business-Critical Data & Capabilities
- Identify and prioritize cross-functional stakeholder needs
- Define & manage business-critical data
- Build the right technical architecture for your organization’s needs
- Workshop: Prioritizing Business-Critical Data Objectives
Day 2
Day Two covers data governance, which is a critical part of any successful data strategy. We will begin with an overview of data governance and the various approaches and components involved in building a data governance organization from both an organizational and technical perspective. In the afternoon, students will integrate all of the topics learned in the course in an interactive workshop to build a roadmap and implementation plan for their unique organization. Topics include:
- Data Governance
- Data Governance Overview
- Aligning Data Governance with business objectives
- Organizational structures
- Data stewardship & roles
- Processes & workflows
- Tools & technologies to support data governance
- Workshop: Data Governance exercise
- Defining an Actionable Roadmap
- Identifying “quick wins”
- Showing success metrics
- Culture & communication
- Workshop: Building an Actionable Roadmap
Vaatimukset
No pre-requirements
Kouluttaja:

DONNA BURBANK
Managing Director, Global Data StrategyDonna is a recognized industry expert in information management with over 20 years of experience in data strategy, information management, data modeling, metadata management, and enterprise architecture.
Her background is multi-faceted across consulting, product development, product management, brand strategy, marketing, and business leadership.
Lue lisää
Introduction to Data Strategy – A Practical Approach
The need for organizations to create a comprehensive data strategy and data management plan is greater than ever, with the rise of the data-driven organization casting a larger spotlight on data-driven initiatives.